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Using night-time satellite imagery to visualize emergy density in territorial systems

机译:使用夜间卫星图像可视化领土系统中的能量密度

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摘要

Cities are the emblem of the Anthropocene era we are living in, characterized by a large use of non-renewable resources. The economic activity concentrates in urban systems together with its negative and positive outcomes. More than 80% of global Gross Domestic Product is generated in the cities, where goods and services created by transforming energy and matter inputs are consumed. It is consequently relevant to study the distribution of energy use in urbanized systems. However, data availability and collection can be an obstacle for a dynamic interpretation of non-renewable energy use patterns in an urban rapidly changing environment. Night-lights data collected by satellite imagery can be used as a time-series available and high-resolution proxy for non-renewable energy use in a territory. At the urban scale, the use of this proxy needs to be deeply investigated. In this paper we present a correlation between an index of the "sum of lights" and non-renewable emergy: defined as the amount of solar energy embedded in the non-renewable resources used by a system. This relationship allows to produce density maps of energy consumption which enable the incorporation of spatially explicit representations of urban metabolism in geographic information systems.
机译:城市是我们生活的人类世时代的象征,其特征是大量使用不可再生资源。经济活动及其负面和正面结果都集中在城市系统上。全球80%以上的国内生产总值来自城市,这些城市通过能源和物质投入的转换而创造了商品和服务。因此,研究城市化系统中的能源使用分布很重要。但是,数据的可用性和收集可能成为动态解释城市快速变化的环境中不可再生能源使用模式的障碍。卫星图像收集的夜灯数​​据可以用作可用的时间序列,并且可以作为领土内不可再生能源使用的高分辨率代理。在城市范围内,需要深入研究此代理的使用。在本文中,我们提出了“光之和”与不可再生能值的指数之间的相关性:定义为系统使用的不可再生资源中嵌入的太阳能量。这种关系允许产生能量消耗的密度图,该密度图可以将城市新陈代谢的空间明确表示形式并入地理信息系统中。

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